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תחוםתורת המשחקיםתורת המשחקים
משפחהMachine learningMachine learning
שנת המקור19761953
הוגה השיטהMichael Jensen, William Meckling, Bengt HolmstromLloyd Shapley
סוגalgorithmalgorithm
מקור מכונןJensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360. DOI ↗Shapley, L. S. (1953). A value for n-person games. In H. W. Kuhn & A. W. Tucker (Eds.), Contributions to the Theory of Games II (pp. 307-317). Princeton University Press. DOI ↗
כינוייםAgency Theory, Hidden Action Problem, Moral HazardFair Division, Cooperative Game Solution, Dividend Vector
קשורות44
תקצירThe Principal-Agent Model analyzes how a principal (e.g., owner, employer, policymaker) can incentivize an agent (e.g., manager, employee, firm) to act in the principal's interest when the agent has private information or can take hidden actions. Formalized by Jensen and Meckling in 1976, the model identifies agency costs arising from moral hazard (the agent exerts less effort than desired) and adverse selection (the agent hides unfavorable information). Optimal contracts balance incentives with risk allocation.The Shapley Value is a solution concept for coalition games that distributes total payoff fairly among players based on their marginal contributions to coalitions. Introduced by Lloyd Shapley in 1953, the Shapley Value is the unique payoff distribution that satisfies four intuitive axioms: efficiency (total payoff is distributed), symmetry (identical players receive equal payoff), null player (players contributing nothing receive nothing), and additivity across games.
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ScholarGateהשוואת שיטות: Principal-Agent Model · Shapley Value. אוחזר בתאריך 2026-06-18 מתוך https://scholargate.app/he/compare